CONTENTS
Contents of 41(2) 2013 - acharya ng ranga agricultural university
Contents of 41(2) 2013 - acharya ng ranga agricultural university
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Research Notes<br />
J.Res. ANGRAU 41(2) 153-157, 2013<br />
CHARACTER ASSOCIATION AND PATH COEFFICIENT ANALYSIS FOR SEED<br />
YIELD IN QUALITY PROTEIN MAIZE Zea mays L.<br />
K. VIJAY KUMAR, M. R. SUDARSHAN, KULDEEP SINGH DANGI and S. MADHUSUDAN REDDY<br />
Department of Genetics and Plant breeding, College of Agriculture,<br />
Acharya N.G. Ranga Agricultural University, Rajendranagar, Hyderabad-500030<br />
Date of Receipt : 21.02.2013 Date of Acceptance : 25.07.2013<br />
Maize Zea mays L. is an important cereal<br />
crop, next to wheat and rice and it is staple food in<br />
many developing countries (Morries et al 1999).<br />
Maize crop is of great significance due to its demand<br />
for food, feed and industrial utilization. It plays an<br />
important role in world economy and trade. Since<br />
maize protein lacks two essential amino acids lysine<br />
and tryptophan and protein deficiency is characterized<br />
by many growth and health related complications in<br />
humans. Therefore, considerable importance has<br />
been given to Quality Protein Maize (QPM) breeding.<br />
The material for the present study comprised<br />
of sixty three quality protein maize genotypes<br />
(numbered BQML-101 to BQML-163) that were<br />
obtained from Maize Research Centre, Agricultural<br />
Research Institute, Rajendranagar, Hyderabad. The<br />
experiment was carried out at College Farm, College<br />
of Agriculture, ANGRAU, Rajendranagar, Hyderabad<br />
during rabi 2008-09 in a randomized block design with<br />
three replications. Each genotype in each replication<br />
consisted of a single row of fifteen plants with a<br />
spacing of 75cm X 20 cm. Five representative plants<br />
were selected at random from each line and<br />
observations were recorded on each plant for sixteen<br />
traits viz., days to 50 per cent tasseling, days to 50<br />
per cent silking, plant height, ear height, days to<br />
maturity, ear length, ear girth, number of kernel rows<br />
per ear, number of kernel per row, 100-seed weight<br />
(g), ear weight (g), shelling (%), protein content (%),<br />
oil content (%), starch content (%) and grain yield<br />
per plant (g). The correlation coefficients were<br />
calculated as per the method suggested by Johnson<br />
et al. (1955). Path analysis was worked out as per<br />
method suggested by Deway and Lu (1959).<br />
The Correlation coefficients between yield,<br />
its component characters and quality parameters are<br />
presented in Table 1. In this study the values of<br />
correlation coefficients indicated that in general, the<br />
magnitude of genotypic correlation coefficients were<br />
higher than phenotypic correlation coefficients for all<br />
the traits which implied negligible influence of<br />
environmental factors and strong inherent association<br />
between the traits. Grain yield was significantly and<br />
positively correlated with ear weight, number of<br />
kernels per row, ear girth, shelling per cent, 100 seed<br />
weight, number of kernel rows per ear, ear length<br />
and oil content, while days to 50 per cent tasseling,<br />
days to 50 per cent silking, and days to maturity had<br />
negative association with grain yield. The remaining<br />
characters, plant height, ear height, protein content<br />
and starch content did not indicate any association<br />
with seed yield. This indicated that seed yield can<br />
be improved by making selection on the basis of ear<br />
weight, number of kernels per row, ear girth, shelling<br />
per cent, 100 seed weight, number of kernel rows<br />
per ear, ear length and oil content. The traits ear<br />
weight, number of kernels per row, ear girth, shelling<br />
per cent, number of kernel rows per ear and 100 seed<br />
weight which had strong positive correlation with seed<br />
yield could be exploited in breeding programmes.<br />
Similar results were reported by Jayakumar et al<br />
(2007), Hemavathy et al (2008) and Shinde et al<br />
(2009).<br />
Path coefficient analysis that partitions the<br />
correlation coefficient into direct and indirect effects<br />
was worked out and is presented in Table 2. Among<br />
the characters studied, days to 50% silking, ear<br />
height, oil content and starch content had negative<br />
direct effect on grain yield and the remaining<br />
characters had positive direct effect. The character,<br />
ear weight had the highest direct effect on seed yield<br />
and it was followed by days to 50% silking and<br />
shelling per cent. The traits, ear weight and shelling<br />
per cent with high direct effect also had positive<br />
correlation with seed yield while days to 50% tasseling<br />
had significant negative correlation with seed yield.<br />
Days to 50 per cent tasseling had negative indirect<br />
effects through days to 50 per cent silking, ear height,<br />
email: vijay.kk410@gmail.com<br />
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